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PhD fellowship - Development of movement and mobility algorithms for wearables and test patient record usability
KEEP CONTROL provides an international, interdisciplinary and intersectoral platform to train young scientists at the interface of clinical medicine, allied health and biomechanics, to study unresolved questions about gait and balance in aging and age-related chronic neurological and frail conditions.
This PhD fellowship is provided by the Kiel University in Germany. The Christian-Albrechts-Universität (CAU) Kiel is the northern-most full University of Germany located at the Baltic Sea with 8 facilities and 25000 students. The Faculty of Medicine is one of the four founding faculties. Research at the Faculty of Medicine is characterized by diverse academic networks and forward-looking interdisciplinary profile areas. The dedicated focus of the Faculty is on digital medicine. The Department is a tertiary referral center for all types of movement disorders and has a large outpatient facility.
Development of movement and mobility algorithms for wearables and test patient record usability
This PhD project is supervised at the University of Kiel (Prof. Gerhard Schmidt, Digital Signal Processing and System Theory, Faculty of Engineering, in close collaboration with Prof. Walter Maetzler, Head of the Neurogeriatrics Kiel at the University Hospital Kiel) and PatientsKnowBest in London, UK (PKB). The group focuses on the development and validation of portable device-based algorithms for the evaluation of functional mobility in older adults and patients with Parkinson's disease. Patients Know Best (PKB) created the world's first patient-controlled medical record to be able to share healthcare information between patients, professionals and organizations across organizational and geographical boundaries. It is used in seven countries across 100 sites, covering a range of populations and conditions and enables coordination of healthcare and research.
The PhD project will (i) apply existing, and develop novel, movement and mobility algorithms for wearables, and (ii) evaluate the feasibility, acceptability and usability of the PKB medical record system.
Must not have resided or carried out their main activity (work, studies, etc.) in the country of the host for more than 12 months in the 3 years immediately prior to their recruitment;
Must have less than 4 years of postgraduate research experience
Specific requirements for the position • A completed MSc degree in the field of biomedical engineering, biomechanics, neuroscience, movement science, sport science, computer science, electrical engineering or other related fields; • Strong skills in biomechanics and/or neurophysiology • Strong skills in signal processing, data analysis (with, e.g., Matlab/R/Python) and biomedical statistics, as well as in database organization and neurophysiology • Good command of the English language and good English writing skills; • Willing to learn a variety of complementary techniques ranging from sensor-based quantitative autonomic and fine motor testing, to new statistical approaches evaluating, e.g. long-term outcomes; • Good communication skills and ability to work in a multidisciplinary and international team.